Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury

Medical imaging modalities, such as magnetic resonance imaging (MRI) and computerized tomography (CT), have allowed medical researchers and clinicians to examine the structural and functional features of the human body, thereby assisting the clinical diagnosis. However, due to the highly controlled...

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Autores principales:	Yundong Liu, Xufeng He
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/f7e7a18c3bc64c348bf3b904fc623361
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spelling	oai:doaj.org-article:f7e7a18c3bc64c348bf3b904fc6233612021-11-08T02:35:59ZDesign of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury2040-230910.1155/2021/7381466https://doaj.org/article/f7e7a18c3bc64c348bf3b904fc6233612021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7381466https://doaj.org/toc/2040-2309Medical imaging modalities, such as magnetic resonance imaging (MRI) and computerized tomography (CT), have allowed medical researchers and clinicians to examine the structural and functional features of the human body, thereby assisting the clinical diagnosis. However, due to the highly controlled imaging environment, the imaging process often creates noise, which seriously affects the analysis of the medical images. In this study, a medical imaging enhancement algorithm is presented for ankle joint talar osteochondral injury. The gradient operator is used to transform the image into the gradient domain, and fuzzy entropy is employed to replace the gradient to determine the diffusion coefficient of the gradient field. The differential operator is used to discretize the image, and a partial differential enhancement model is constructed to achieve image detail enhancement. Three objective evaluation indexes, namely, signal-to-noise ratio (SNR), information entropy (IE), and edge protection index (EPI), were employed to evaluate the image enhancement capability of the proposed algorithm. Experimental results show that the algorithm can better suppress noise while enhancing image details. Compared with the original image, the histogram of the transformed image is more uniform and flat and the gray level is clearer.Yundong LiuXufeng HeHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Yundong Liu Xufeng He Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
description	Medical imaging modalities, such as magnetic resonance imaging (MRI) and computerized tomography (CT), have allowed medical researchers and clinicians to examine the structural and functional features of the human body, thereby assisting the clinical diagnosis. However, due to the highly controlled imaging environment, the imaging process often creates noise, which seriously affects the analysis of the medical images. In this study, a medical imaging enhancement algorithm is presented for ankle joint talar osteochondral injury. The gradient operator is used to transform the image into the gradient domain, and fuzzy entropy is employed to replace the gradient to determine the diffusion coefficient of the gradient field. The differential operator is used to discretize the image, and a partial differential enhancement model is constructed to achieve image detail enhancement. Three objective evaluation indexes, namely, signal-to-noise ratio (SNR), information entropy (IE), and edge protection index (EPI), were employed to evaluate the image enhancement capability of the proposed algorithm. Experimental results show that the algorithm can better suppress noise while enhancing image details. Compared with the original image, the histogram of the transformed image is more uniform and flat and the gray level is clearer.
format	article
author	Yundong Liu Xufeng He
author_facet	Yundong Liu Xufeng He
author_sort	Yundong Liu
title	Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
title_short	Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
title_full	Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
title_fullStr	Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
title_full_unstemmed	Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury
title_sort	design of medical image detail enhancement algorithm for ankle joint talar osteochondral injury
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/f7e7a18c3bc64c348bf3b904fc623361
work_keys_str_mv	AT yundongliu designofmedicalimagedetailenhancementalgorithmforanklejointtalarosteochondralinjury AT xufenghe designofmedicalimagedetailenhancementalgorithmforanklejointtalarosteochondralinjury
_version_	1718443248207265792

Design of Medical Image Detail Enhancement Algorithm for Ankle Joint Talar Osteochondral Injury

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